Bayesian Brain

Dimensions underlying the representational alignment of deep neural networks with humans - Nature Machine Intelligence An interpretability framework that compares how humans and deep neural networks process images has been presented. Their findings reveal that, unlike humans, deep neural networks focus more on visual ...

What makes humans similar or different to AI? In a paper out in @natmachintell.nature.com led by @florianmahner.bsky.social & @lukasmut.bsky.social, w/ Umut Güclü, we took a deep look at the factors underlying their representational alignment, with surprising results.

www.nature.com/articles/s42...

YouTube video by Gerstner Lab From Spikes To Rates

Is it possible to go from spikes to rates without averaging?

We show how to exactly map recurrent spiking networks into recurrent rate networks, with the same number of neurons. No temporal or spatial averaging needed!

Presented at Gatsby Neural Dynamics Workshop, London.

Why do academics commit scientific misconduct?

Scientists lay the blame on the system rather than the self:

eg. "Reviewers hardly check the details of manuscripts"

eg. "The pressure from journals to produce spectacular results almost invites people to help things along a bit here or there"

🤔 How can we study #consciousness between people, at the social level? 🧠✨ New #preprint co-led by Anne Monnier & Lena Adel: “Now is the Time: Operationalizing Generative Neurophenomenology through Interpersonal Methods” 🧵(1/3)

What does the claustrum actually do?

This study explores how this mysterious brain region processes sensory signals and connects across the cortex. While the evidence for its role is still incomplete, the data offer a useful foundation for future work.
buff.ly/gfE6Gjt

Systems consolidation reorganizes hippocampal engram circuitry Nature - A study shows that loss of memory precision associated with systems consolidation can be explained by neurogenesis-dependent reorganization of engram circuitry within the hippocampus over...

Sharing a new paper from the lab. This paper, led by Sangyoon Ko, represents a merging of two longstanding research themes in the lab-- adult neurogenesis and systems consolidation.

rdcu.be/el18q

A short thread follows for those interested.

1/n

Uncertainty estimation with prediction-error circuits - Nature Communications How the brain integrates sensory input and predictions to adapt to change is not fully understood. Here authors build a neural network model to show how prediction-error neurons compute uncertainty of...

How should you combine sensory inputs with your internal predictions? Well, use uncertainty directly computed by your prediction-error circuits. Cool? Check out our Nat. Com. paper with Loreen Hertäg and @k47h4.bsky.social . www.nature.com/articles/s41...

Our work, out at Cell, shows that the brain’s dopamine signals teach each individual a unique learning trajectory. Collaborative experiment-theory effort, led by Sam Liebana in the lab. The first experiment my lab started just shy of 6y ago & v excited to see it out: www.cell.com/cell/fulltex...

The cortical critical power law balances energy and information in an optimal fashion | PNAS A recent study has suggested that the stimulus responses of cortical neural populations follow a critical power law. More precisely, the power spec...

The cortical critical power law balances energy and information in an optimal fashion | PNAS www.pnas.org/doi/10.1073/...

Thanks so much for the shout-out, and congrats on your exciting work!! 🎉 🙂

Also, a good reminder to share that our work is now out in Cell Reports 🙏🎊

⬇️

www.cell.com/cell-reports...

Synaptic plasticity rules driving representational shifting in the hippocampus - Nature Neuroscience Madar et al. report that behavioral timescale synaptic plasticity (BTSP), not spike-timing-dependent plasticity, explains heterogeneous place fields shifting in the hippocampus. The probability of BTS...

BTSP, but not STDP, can account for place field changes in hippocampus, out in Nature Neuroscience today:

www.nature.com/articles/s41...

🧠📈 🧪

New paper in Imaging Neuroscience by Viktor Pfaffenrot, David G. Norris, et al:

Characterizing BOLD activation patterns in the human hippocampus with laminar fMRI

doi.org/10.1162/imag...

Individual variability of neural computations underlying flexible decisions - Nature Behavioural experiments to study decision-making in response to context-dependent accumulation of evidence provide testable models that are consistent with the heterogeneity in neural signatures among...

1/7 Our paper on individual variability in decision-making is finally out in @nature.com! Inspired by the classic work by Mante and Sussillo, we trained many rats to solve context-dependent decision-making, and we found that different brains use different neural mechanisms to solve the same task!

Beyond Mechanism—Extending Our Concepts of Causation in Neuroscience The search for neural mechanisms of behaviour often relies on a synchronic, driving view of causation, where neural activity drives more neural activity, which eventually drives behaviour. The real c...

Beyond Mechanism—Extending Our Concepts of Causation in Neuroscience onlinelibrary.wiley.com/doi/10.1111/... - really pleased that this paper with Henry Potter is now published in the European Journal of Neuroscience 😊

A proposal for unifying statistical learning at different scales: Long-Horizon Associative Learning https://www.biorxiv.org/content/10.1101/2025.03.12.642610v1

Episodic memory facilitates flexible decision making via access to detailed events https://www.biorxiv.org/content/10.1101/2025.03.13.643066v1

A trio of Comments about #consciousness from leading thinkers in the field

First, What makes a theory of consciousness unscientific?

www.nature.com/articles/s41...

Attractor-based models for sequences and pattern generation in neural circuits https://www.biorxiv.org/content/10.1101/2025.03.07.642121v1

Temporal Propagation of Neural State Boundaries in Naturalistic Context https://www.biorxiv.org/content/10.1101/2025.02.28.640737v1

Dynamically rich states in balanced networks induced by single-neuron dynamics https://www.biorxiv.org/content/10.1101/2025.02.28.640576v1

The behavioral mechanisms governing collective motion in swarming locusts Collective motion, which is ubiquitous in nature, has traditionally been explained by “self-propelled particle” models from theoretical physics. Here we show, through field, lab, and virtual reality e...

Scientists use VR + lab + field study to rewrite the rules of locust swarming 🦗🦗

Latest @science.org from first author @sercansayin.bsky.social and #Konstanz team ⬇️

@einatcouzin.bsky.social @icouzin.bsky.social @cbehav.bsky.social @uni-konstanz.de
www.science.org/doi/10.1126/...

Linking Motor Working Memory to Explicit and Implicit Motor Learning https://www.biorxiv.org/content/10.1101/2025.02.27.640657v1